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Embracing Data-Driven Analytics (DDA) in human resource management to measure the organization performance

In: Handbook of Big Data Research Methods

Author

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  • P.S. Varsha
  • S. Nithya Shree

Abstract

The rapid increase of digital technologies in present firms with the collaboration of data to provide new insights to enhance firms' success. In this study, we discover that there is a change in the people management approach in the companies. Also, research revealed the transformation of a traditional way of decisions to data-centric decisions. Further study examines the nuances of HR analytics about their evolution, definitions, proposed conceptual framework how it helps to a new concept of data-driven analytics in decision making. A convenience sampling method was incorporated to collect the data. The role of HR analytics will be measured through Tableau by creating dashboards using descriptive analytics and the outcomes are measured. The research findings bring the novel result in the constant progress in HR analytics like familiarizing concepts at the workplace related to data literacy and analysis to evaluate employee performance and improve managerial decision making.

Suggested Citation

  • P.S. Varsha & S. Nithya Shree, 2023. "Embracing Data-Driven Analytics (DDA) in human resource management to measure the organization performance," Chapters, in: Shahriar Akter & Samuel Fosso Wamba (ed.), Handbook of Big Data Research Methods, chapter 13, pages 195-213, Edward Elgar Publishing.
    • Handle: RePEc:elg:eechap:20820_13
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    Cited by:

    1. Arpan Kumar Kar & P. S. Varsha & Shivakami Rajan, 2023. "Unravelling the Impact of Generative Artificial Intelligence (GAI) in Industrial Applications: A Review of Scientific and Grey Literature," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 24(4), pages 659-689, December.

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